[目的/意义] 以武汉大学和南京大学在图书情报研究领域的发文作者及其发文数量为研究对象，识别两机构内部合作网络的结构特征及差异，挖掘合作潜力，为增强作者之间的合作交流提供借鉴，以期帮助该领域更好地发展。[方法/过程] 建立次作者与第一作者之间的有向合作网络，统计两机构的合作构成，通过社会网络分析Pajek软件将合作网络关系可视化，同时进行三方关系组的特征分析。[结果/结论] 经分析发现武汉大学更倾向双人合作发文，次作者多与高产作者合作，网络有汇聚倾向，缺乏次作者之间的合作；南京大学该领域学者倾向于独立发文，更多作者作为第一作者加入合作网络，使网络向外部扩张，第一作者之间缺乏合作。
[Purpose/significance] This paper used the published authors of Wuhan University and Nanjing University in the field of library and information research and their number of submissions as research objects to identify the structural characteristics and differences of the intranet's internal cooperation network. It can provide reference for the cooperation and communication among authors, and promote better development in this field.[Method/process] Firstly, this paper created cooperative network between the first author and the other author, and count up the cooperation between Wuhan University and Nanjing University. Then, it visualized the cooperative network relationship though Pajek (a social network analysis software), while did the triad census analysis of characteristics. [Result/conclusion] The analysis shows that Wuhan University prefer to publish papers through two personal cooperation. Sub-authors often cooperate with high-yield authors, the network tends to converge, and lack of cooperation among sub-authors; Nanjing University scholars prefer to publish papers independently as the first author, more authors join cooperation network as the first author so that the network expands outward. Meanwhile, there's less cooperation among different first authors.
[1] WOLFGAN G,CHRISTO D L. Modelling and measuring multilateral co-authorship in international scientific collaboration. Part Ⅱ. A comparative study on the extent and change of international scientific collaboration links[J]. Scientometrics,1997,40(3):605-626.
[2] EILEEN O, RONALD R. Social network analysis:a powerful strategy, also for the information sciences[J]. Journal of information science, 2002,28(6):441-453.
[3] 邱均平,董克.作者共现网络的科学研究结构揭示能力比较研究[J].中国图书馆学报,2014,40(1):15-24.
[4] 侯剑华,王仲禹. 大科学项目的国际科学合作模式及特点探究——以斯隆数字巡天(SDSS)项目为例[J]. 现代情报,2016,36(12):126-132.
[5] BATAGELJ V,MRVAR A. A subquadratic triad census algorithm for large sparse networks with small maximum degree[J]. Social networks,2001,23(3):237-243.
[6] CHU S H, CHENG J. Triangle listing in massive networks[J].ACM transactions on knowledge discovery from data,2012,6(4):1-17,32.
[7] DEREK D, HUDA A, SWAPNA S G. Triads, transitivity, and social effects in user interactions on Facebook[C]//International conference on computational aspects of social networks. New York:IEEE, 2013:68-73.
[8] HUDA A, SWAPNA S G. Mining social capital on online social networks with strong and weak ties[C]//AWAN I, YOUNAS M. Proceedings 20162nd international conference on open and big data. Los Alamitos:IEEE Computer Soc, 2016:9-16.
[9] 傅春花. 合作网络及合作竞争网络的相关研究[D]. 扬州:扬州大学,2009.
[10] 董克,刘德洪,江洪. 基于三方关系组的引用网络结构分析[J]. 情报理论与实践,2010,33(11):50-53.
[11] 郑笑寒. 论知识产权理论的哲学反思——以创新收益为视角[D]. 南昌:南昌大学,2007.
[12] HOLLAND P W, LEINHARDT S. An exponential family of probability-distributions for Directed-Graphs[J]. Journal of the American Statistical Association, 1981, 76(373):33-50.
